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Free tool · Results in seconds
Upload a spreadsheet and get an instant health score, the issues that will break your reports, and plain English fixes.
Drop in a spreadsheet
Excel or CSV. Pick the sheet if there are several.
Get your score
Four scores and a ranked list of issues in seconds.
Fix what matters
Plain English steps, or ask us to fix it for you.
Drag your spreadsheet hereCheck a spreadsheet
or choose a file from your computerChoose an Excel or CSV file from your phone
What you get
A score out of 100
Across completeness, consistency, uniqueness, and structure.
The issues that matter
Ranked by how much they will distort your reports and AI answers.
Plain English fixes
Clear steps you can do yourself in Excel or Power Query.
A PDF report to share
A branded report for your team, manager or accountant.
Private by design. Your file is checked in your browser and is never uploaded to our servers.
What we check
Missing values
Columns with gaps that make averages, counts, and AI answers unreliable.
Duplicate rows
Repeated records that quietly inflate totals in every report.
Numbers stored as text
Values with £, commas, or % typed in that SUM and Power BI ignore.
Inconsistent dates
Mixed formats that turn 03/04 into March in one row and April in the next.
Inconsistent labels
The same category spelled different ways, counted as different things.
Structure problems
Missing headers, blank rows, and total rows mixed in with the data.
Yes. The check runs entirely in your web browser. Your file is never uploaded to our servers. If you choose to get the full findings by email, we send only the scores and findings, never the contents of your file.
Excel workbooks (.xlsx) and CSV files up to 10 MB. If your workbook has several sheets, you choose which one to check. Older .xls files need to be saved as .xlsx first.
The score combines four areas: completeness, consistency, uniqueness, and structure. 85 or above means the data is in good shape for dashboards and AI tools. Below 50 means reports built on it are likely to show wrong numbers.
AI assistants answer questions from the data you give them. If the same customer appears twice or numbers are stored as text, the AI will confidently give the wrong answer. Clean data is the foundation for useful AI.
A person reviews your results and your sheet structure, then sends a written report with a prioritised fix plan, time estimates, and recommendations for your reporting setup.